NuGet Gallery Feed for TrendsCalculatorTrending Calculator is a library for calculating the trending models out of the given list of models.The algorithm takes into account primarily two parameters for calculating the trending models out of the given list of data:-
The spike i.e., the trends indicating the picking up of a particular model.
The quantity in which the model is picked up.
Three modes for calculation:
a. ZMean criteria.
b. Custom
c. DemandSupply
Please visit the github documentation on how to consume.https://www.nuget.org/packages/TrendsCalculator/2021-08-12T03:52:35Zhttps://www.nuget.org/packages/TrendsCalculator/2.0.0TrendsCalculator 2.0.02021-08-12T03:50:04Z2021-08-12T03:52:35Zpuwalechhttps://www.nuget.org/profiles/puwalechTrending Calculator is a library for calculating the trending models out of the given list of models.The algorithm takes into account primarily two parameters for calculating the trending models out of the given list of data:-
The spike i.e., the trends indicating the picking up of a particular model.
The quantity in which the model is picked up.
Three modes for calculation:
a. ZMean criteria.
b. Custom
c. DemandSupply
Please visit the github documentation on how to consume.https://www.nuget.org/packages/TrendsCalculator/1.0.3TrendsCalculator 1.0.32021-08-03T13:42:00Z2021-08-03T13:44:05Zpuwalechhttps://www.nuget.org/profiles/puwalechCalculate Trending Models for a given input data bucketed windows period, with each window segmented into equal parts.
Models must contain these three attributes:-
1)LocalZ(double)
2)GlobalZ(double)
3)CountWithPeriods(List<int>) with
size of list is greater than or equal to (windowPeriod)*number of segments of each unit
AND
size of list less than or equal to (windowPeriod+1)*number of segments of each unit
Returns a List<T> containing list of trending models.https://www.nuget.org/packages/TrendsCalculator/1.0.2TrendsCalculator 1.0.22021-08-03T13:31:49Z2021-08-03T13:33:51Zpuwalechhttps://www.nuget.org/profiles/puwalechCalculate Trending Models for a given input data bucketed windows period, with each window segmented into equal parts.
Models must contain these three attributes:-
1)LocalZ(double)
2)GlobalZ(double)
3)CountWithPeriods(List<int>) with
size of list is greater than or equal to (windowPeriod)*number of segments of each unit
AND
size of list less than or equal to (windowPeriod+1)*number of segments of each unit
Returns a List<T> containing list of trending models.